pyavs.load_and_preprocess_meg_run

pyavs.load_and_preprocess_meg_run(subject_id: int, session: int, run: int, data_path: str | None = None, force_recompute: bool = False, save_preprocessed: bool = True, **preprocessing_kwargs) → mne.io.Raw[source]

Load and preprocess MEG data for a single run.

Parameters:

  • subject_id (int) – Subject ID

  • session (int) – Session number

  • run (int) – Run/block number

  • data_path (str, optional) – Path to data directory. If None, uses configured data path

  • force_recompute (bool, optional) – Whether to force recomputation even if preprocessed data exists (default: False)

  • save_preprocessed (bool, optional) – Whether to save preprocessed data (default: True)

  • **preprocessing_kwargs – Additional arguments passed to preprocess_meg_block

Returns:

Preprocessed MEG data

Return type:

mne.io.Raw